Brain-Computer Interfaces: Lab Experiments to Real-World Applications: Progress in Brain Research, cartea 228
Damien Coyleen Limba Engleză Hardback – 30 aug 2016
- Explores new trends and developments in brain research
- Enhances the literature of neuroscience by further expanding this established, ongoing international series
- Examines major areas of basic and clinical research within the field
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Specificații
ISBN-13: 9780128042168
ISBN-10: 0128042168
Pagini: 434
Dimensiuni: 191 x 235 x 25 mm
Greutate: 1.04 kg
Editura: ELSEVIER SCIENCE
Seria Progress in Brain Research
ISBN-10: 0128042168
Pagini: 434
Dimensiuni: 191 x 235 x 25 mm
Greutate: 1.04 kg
Editura: ELSEVIER SCIENCE
Seria Progress in Brain Research
Cuprins
ECoG studies 1. Electrocorticographic (ECoG) Brain-Computer Interfaces and Plasticity Kai Joshua Miller
Signal processing 2. Neural and Cortical Analysis of Swallowing and Detection of Motor Imagery of Swallow for Dysphagia Rehabilitation-A Review Cuntai Guan and Huijuan Yang
Advanced non-invasive decoding of hand grasp and arm movements 3. Multisession, noninvasive closed-loop neuroprosthetic control of grasping by upper limb amputees Jose Contreras-Vidal 4. From classic motor imagery to complex movement intention decoding: the non-invasive Graz-BCI approach Gernot Müller-Putz 5. 3d arm motion trajectory prediction from EEG Attila Korik
Patients studies and clinical applications 6. Interfacing Brain with Computer to improve communication and rehabilitation after brain damage Donatella Mattia 7. Brain Computer Interfaces in the completely locked in state and chronic stroke Niels Birbaumer 8. Practical considerations in using brain-computer interfaces for real-world applications that assist individuals with disabilities Dennis McFarland 9. Brain-Computer Interfaces for neurorehabilitation Junichi Ushiba
Non-medical applications 10. A passive Brain-Computer Interface (p-BCI) application for the mental workload assessment on professional Air Traffic Controllers (ATCOs) during realistic ATC tasks Fabio Babiloni 11. Advances in User-Training for Mental-Imagery Based BCI Control: Psychological and Cognitive Factors and their Neural Correlates Fabien Lotte 12. Communicating with BCI using language related cognitive tasks Francisco Sepulveda 13. Brain-Computer Games Interfacing with Motion-onset Visual Evoked Potentials David Marshall 14. Brain-Computer Interfaces for Patients with Disorders of Consciousness Damian Cruse 15. A Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis Matthias R. Hohmann
Signal processing 2. Neural and Cortical Analysis of Swallowing and Detection of Motor Imagery of Swallow for Dysphagia Rehabilitation-A Review Cuntai Guan and Huijuan Yang
Advanced non-invasive decoding of hand grasp and arm movements 3. Multisession, noninvasive closed-loop neuroprosthetic control of grasping by upper limb amputees Jose Contreras-Vidal 4. From classic motor imagery to complex movement intention decoding: the non-invasive Graz-BCI approach Gernot Müller-Putz 5. 3d arm motion trajectory prediction from EEG Attila Korik
Patients studies and clinical applications 6. Interfacing Brain with Computer to improve communication and rehabilitation after brain damage Donatella Mattia 7. Brain Computer Interfaces in the completely locked in state and chronic stroke Niels Birbaumer 8. Practical considerations in using brain-computer interfaces for real-world applications that assist individuals with disabilities Dennis McFarland 9. Brain-Computer Interfaces for neurorehabilitation Junichi Ushiba
Non-medical applications 10. A passive Brain-Computer Interface (p-BCI) application for the mental workload assessment on professional Air Traffic Controllers (ATCOs) during realistic ATC tasks Fabio Babiloni 11. Advances in User-Training for Mental-Imagery Based BCI Control: Psychological and Cognitive Factors and their Neural Correlates Fabien Lotte 12. Communicating with BCI using language related cognitive tasks Francisco Sepulveda 13. Brain-Computer Games Interfacing with Motion-onset Visual Evoked Potentials David Marshall 14. Brain-Computer Interfaces for Patients with Disorders of Consciousness Damian Cruse 15. A Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis Matthias R. Hohmann